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Our accessibility approach ↗

The OYEE lab / Free / Hands on

Less mystery.
More experiments.

The best way to understand our approach? Try it. Explore three mechanisms at your own pace. In a workshop, an educator guides these discoveries with your group.

Teaching simulations: no live AI. Progress stays on this device; no entered text is saved or sent.

Your turn0 / 3

Experiment 01 / Prediction isn’t knowledge

One word.
Many futures.

A language model assigns probabilities to upcoming tokens. Here, three words and illustrative weights make that mechanism visible.

↙ Change context and temperature.
Then sample a word.
0.7
More concentratedMore varied

Temperature reshapes the probabilities. It measures neither truth nor intelligence.

Which word will emerge?

Possible futuresProbability
Your samples
The takeaway

A likely continuation is not evidence. The same machine can produce a fluent sentence and a convincing mistake. Try two contexts and two temperatures, then sample a word.

Experiment 02 / One answer, three checks

Convincing.
And yet.

Read the fictional source document. Then classify each claim in the summary. Missing information is not automatically false.

Exhibit A / Fictional document

Meeting notes
Riverside Library

The team proposes a 90-minute workshop to explore AI. The room can hold 24 people. The date is yet to be confirmed. Free registration is being considered, but the budget has not yet been approved.

Your only source for this experiment.

Exhibit B / Summary to check
The takeaway

Return to the source. Distinguish “supported”, “contradicted” and “not enough information”. This is the reasoning we practise together in a workshop.

Experiment 03 / Make your intent visible

A good instruction
is built.

Turn “tell me about AI” into a request someone can actually follow. Build, compare and copy your instruction.

Add useful criteria

Use a fictional example. This text stays on the page.

Before

“Tell me about AI.”

Your instruction, assembled as you go

This assembles your instruction; no AI response is generated.

The takeaway

A precise instruction makes the result easier to evaluate. It does not guarantee accuracy. Choose your audience, task and at least two criteria to finish this experiment.

A little look inside / 002

The machine proposes.
You decide.

Let’s open the box. Explore the journey of an answer, from the first word to your decision.

OYEE / EXPLODED VIEW01 / 04
What flows through
Explain AI to my team.
01

Your intention

Explain AI to my team.

It starts with you. A question, a context, an intention.

02

Small pieces

Explain · AI · to · my · team

Text becomes tokens: parts of words, words or symbols. The boundaries shown here are simplified.

03

Possibilities

tool / system / technology

The model calculates possible continuations from context. A likely continuation can still be wrong.

04

Your judgment

Is it accurate? Useful? Suitable?

You compare against sources, identify limitations and decide what to use. Your judgment remains essential.

Teaching view: these layers represent stages, not a model’s physical architecture. Preset examples; no live AI.

The next experiment is with you.

Imagine this.
With your whole team.

Questions fly. Ideas meet. An educator guides the room. That’s an OYEE workshop.

Let’s plan your workshop